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Collins, Kathleen M. T.; Onwuegbuzie, Anthony J. – New Directions for Evaluation, 2013
The goal of this chapter is to recommend quality criteria to guide evaluators' selections of sampling designs when mixing approaches. First, we contextualize our discussion of quality criteria and sampling designs by discussing the concept of interpretive consistency and how it impacts sampling decisions. Embedded in this discussion are…
Descriptors: Sampling, Mixed Methods Research, Evaluators, Q Methodology
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Górny, Agata; Napierala, Joanna – International Journal of Social Research Methodology, 2016
We evaluate the effectiveness in empirical migration research of the respondent-driven sampling (RDS) and the quota sampling with regard to four criteria: quality of the data; sociometric diversity of the sample; geographic coverage of the sample; and cost-effectiveness. We review two surveys of ex-USSR migrants, conducted simultaneously in the…
Descriptors: Comparative Analysis, Migration, Data Analysis, Sociometric Techniques
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Shi, Yongren; Cameron, Christopher J.; Heckathorn, Douglas D. – Sociological Methods & Research, 2019
Respondent-driven sampling (RDS), a link-tracing sampling and inference method for studying hard-to-reach populations, has been shown to produce asymptotically unbiased population estimates when its assumptions are satisfied. However, some of the assumptions are prohibitively difficult to reach in the field, and the violation of a crucial…
Descriptors: Statistical Inference, Bias, Recruitment, Sampling
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Phillips, Gary W. – Applied Measurement in Education, 2015
This article proposes that sampling design effects have potentially huge unrecognized impacts on the results reported by large-scale district and state assessments in the United States. When design effects are unrecognized and unaccounted for they lead to underestimating the sampling error in item and test statistics. Underestimating the sampling…
Descriptors: State Programs, Sampling, Research Design, Error of Measurement
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Saldanha, Luis – Statistics Education Research Journal, 2016
This article reports on a classroom teaching experiment that engaged a group of high school students in designing sampling simulations within a computer microworld. The simulation-design activities aimed to foster students' abilities to conceive of contextual situations as stochastic experiments, and to engage them with the logic of hypothesis…
Descriptors: Student Experience, Computer Simulation, High School Students, Hypothesis Testing
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van Maanen, Leendert; van Rijn, Hedderik; Taatgen, Niels – Cognitive Science, 2012
This article discusses how sequential sampling models can be integrated in a cognitive architecture. The new theory Retrieval by Accumulating Evidence in an Architecture (RACE/A) combines the level of detail typically provided by sequential sampling models with the level of task complexity typically provided by cognitive architectures. We will use…
Descriptors: Sampling, Cognitive Processes, Long Term Memory, Short Term Memory
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Rivera, Jason D. – Journal of Public Affairs Education, 2019
Across all social science disciplines, but in particular public administration, there is a shared concern about the costs of using traditional random samples to generate data, and its impact on researchers' ability to engage in "quality" research. As a result of these costs, more academics, practitioners, and students are turning to…
Descriptors: Public Affairs Education, Public Administration, Social Science Research, Graduate Students
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de Vetten, Arjen; Schoonenboom, Judith; Keijzer, Ronald; van Oers, Bert – Journal of Mathematics Teacher Education, 2019
The ability to reason inferentially is increasingly important in today's society. It is hypothesized here that engaging primary school students in informal statistical reasoning (ISI), defined as making generalizations without the use of formal statistical tests, will help them acquire the foundations for inferential and statistical thinking.…
Descriptors: Preservice Teachers, Mathematics Instruction, Statistics, Inferences
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Sutrimah; Winarni, Retno; Wardani, Nugraheni Eko; Ngadiso – International Journal of Instruction, 2019
This study aimed at (1) revealing the lecturers and students' perception on the use of modern Indonesian literary history textbook in teaching Literary History course; and (2) evaluating the effectiveness of modern Indonesian literary history textbook in teaching Literary History course. This study combines evaluative descriptive research designs…
Descriptors: History Instruction, Private Colleges, Comparative Analysis, Textbooks
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Achimugu, Lawrence; Obaka, Hassana Phebe – Science Education International, 2019
The study explored the influence of principals' leadership styles on senior secondary school students' achievement in chemistry in the Kogi State of Nigeria. It was guided by one research question and three hypotheses. Correlation survey research design was used. The target population was Senior Secondary Class Three chemistry teachers and…
Descriptors: Foreign Countries, Leadership Styles, Principals, Secondary School Students
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Lee, Hollylynne S.; Starling, Tina T.; Gonzalez, Marggie D. – Mathematics Teacher, 2014
Research shows that students often struggle with understanding empirical sampling distributions. Using hands-on and technology models and simulations of problems generated by real data help students begin to make connections between repeated sampling, sample size, distribution, variation, and center. A task to assist teachers in implementing…
Descriptors: Sampling, Sample Size, Statistical Distributions, Simulation
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Kim, Seohyun; Lu, Zhenqiu; Cohen, Allan S. – Measurement: Interdisciplinary Research and Perspectives, 2018
Bayesian algorithms have been used successfully in the social and behavioral sciences to analyze dichotomous data particularly with complex structural equation models. In this study, we investigate the use of the Polya-Gamma data augmentation method with Gibbs sampling to improve estimation of structural equation models with dichotomous variables.…
Descriptors: Bayesian Statistics, Structural Equation Models, Computation, Social Science Research
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Wulandari, Nidya Ferry; Jailani – Journal on Mathematics Education, 2018
The aims of this research were to describe mathematics skill of 8th fifteen-year old students in Yogyakarta in solving problem of PISA. The sampling was combination of stratified and cluster random sampling. The sample consisting of 400 students was selected from fifteen schools. The data collection was by tests. The research finding revealed that…
Descriptors: Foreign Countries, Mathematics Skills, Problem Solving, Achievement Tests
Makela, Susanna; Si, Yajuan; Gelman, Andrew – Grantee Submission, 2018
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design-based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are first selected with probability proportional to…
Descriptors: Bayesian Statistics, Statistical Inference, Sampling, Probability
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Hancock, Stacey A.; Rummerfield, Wendy – Journal of Statistics Education, 2020
Sampling distributions are fundamental to an understanding of statistical inference, yet research shows that students in introductory statistics courses tend to have multiple misconceptions of this important concept. A common instructional method used to address these misconceptions is computer simulation, often preceded by hands-on simulation…
Descriptors: Teaching Methods, Sampling, Experiential Learning, Computer Simulation
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